Package: LocalCop 0.0.2

LocalCop: Local Likelihood Inference for Conditional Copula Models

Implements a local likelihood estimator for the dependence parameter in bivariate conditional copula models. Copula family and local likelihood bandwidth parameters are selected by leave-one-out cross-validation. The models are implemented in 'TMB', meaning that the local score function is efficiently calculated via automated differentiation (AD), such that quasi-Newton algorithms may be used for parameter estimation.

Authors:Elif Fidan Acar [aut], Martin Lysy [aut, cre], Alan Kuchinsky [ctb]

LocalCop_0.0.2.tar.gz
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LocalCop.pdf |LocalCop.html
LocalCop/json (API)
NEWS

# Install 'LocalCop' in R:
install.packages('LocalCop', repos = c('https://mlysy.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/mlysy/localcop/issues

On CRAN:

4.85 score 1 stars 9 scripts 187 downloads 14 exports 9 dependencies

Last updated 2 months agofrom:2d815a13ea. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 24 2024
R-4.5-win-x86_64OKOct 24 2024
R-4.5-linux-x86_64OKOct 24 2024
R-4.4-win-x86_64OKOct 24 2024
R-4.4-mac-x86_64OKOct 24 2024
R-4.4-mac-aarch64OKOct 24 2024
R-4.3-win-x86_64OKOct 24 2024
R-4.3-mac-x86_64OKOct 24 2024
R-4.3-mac-aarch64OKOct 24 2024

Exports:BiCopEta2ParBiCopEta2TauBiCopPar2EtaBiCopTau2EtaCondiCopLikCVCondiCopLocFitCondiCopLocFunCondiCopSelectKernBetaKernBiQuadKernEpaKernGausKernTriAngKernWeight

Dependencies:ADGofTestlatticeMASSMatrixmvtnormRcppRcppEigenTMBVineCopula

LocalCop: Local likelihood inference for conditional copulas

Rendered fromLocalCop.Rmdusingknitr::rmarkdownon Oct 24 2024.

Last update: 2024-09-06
Started: 2024-09-05